Rural Health
Resources by Topic: Injuries
Wrong-Way Driving and Injury Risk on a Rural Four-Lane Corridor: A Descriptive and Spatial Analysis of US Highway 10, 2019-2024
Examines crash, injury, and mortality characteristics along a rural highway in Wisconsin. Analyzes 239 motor vehicle collisions (MVCs) from 2019-2024 according to environmental conditions, manner of collision, use of substances, and injury or death. Discusses geographic disparities in MVC fatalities and access to emergency care, as well as the role of public safety planning.
Author(s): Heather Rhodes-Lyons, Rachel Symons, Gina Brandl, Erin Klarr, Lucy Martinek
Citation: Wisconsin Medical Journal, 125(4), 445-450
Date: 11/2026
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Examines crash, injury, and mortality characteristics along a rural highway in Wisconsin. Analyzes 239 motor vehicle collisions (MVCs) from 2019-2024 according to environmental conditions, manner of collision, use of substances, and injury or death. Discusses geographic disparities in MVC fatalities and access to emergency care, as well as the role of public safety planning.
Author(s): Heather Rhodes-Lyons, Rachel Symons, Gina Brandl, Erin Klarr, Lucy Martinek
Citation: Wisconsin Medical Journal, 125(4), 445-450
Date: 11/2026
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The Childcare and Farm Children's Safety Conundrum
Discusses the family, community and interpersonal, and policy factors impacting farm safety decisions by exploring child care on the farm. Study included 68 farm women in Ohio, Vermont, and Wisconsin, states chosen based on their rates of child injuries, policy approaches to child care, production types, and rates of female and beginning farmers.
Author(s): Florence Becot, Sarah Ruszkowski
Citation: Rural Sociology, 91(4)
Date: 10/2026
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Discusses the family, community and interpersonal, and policy factors impacting farm safety decisions by exploring child care on the farm. Study included 68 farm women in Ohio, Vermont, and Wisconsin, states chosen based on their rates of child injuries, policy approaches to child care, production types, and rates of female and beginning farmers.
Author(s): Florence Becot, Sarah Ruszkowski
Citation: Rural Sociology, 91(4)
Date: 10/2026
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Traffic Safety Facts, 2024 Data: Older Population
National data on traffic crashes involving drivers age 65 and older. Features statistics from 2015-2024 with breakdowns by sex, age group, blood alcohol concentrations, state, and rural or urban location.
Date: 10/2026
Sponsoring organization: National Highway Traffic Safety Administration
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National data on traffic crashes involving drivers age 65 and older. Features statistics from 2015-2024 with breakdowns by sex, age group, blood alcohol concentrations, state, and rural or urban location.
Date: 10/2026
Sponsoring organization: National Highway Traffic Safety Administration
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Traffic Safety Facts, 2024 Data: Passenger Vehicles
National data on traffic crashes involving passenger vehicles. Features statistics from 2020-2024 with breakdowns by vehicle type, time of day, fatalities, state, and rural or urban locations.
Date: 10/2026
Sponsoring organization: National Highway Traffic Safety Administration
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National data on traffic crashes involving passenger vehicles. Features statistics from 2020-2024 with breakdowns by vehicle type, time of day, fatalities, state, and rural or urban locations.
Date: 10/2026
Sponsoring organization: National Highway Traffic Safety Administration
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Traffic Safety Facts, 2025: North Dakota Truck Crash Facts
Provide statistics on crashes involving trucks in North Dakota from 2018 through 2025. Includes data on cause of crash, manner of collision, location of collision, injuries and fatalities, and if the crash happened on a rural versus urban road.
Date: 09/2026
Sponsoring organization: Upper Great Plains Transportation Institute
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Provide statistics on crashes involving trucks in North Dakota from 2018 through 2025. Includes data on cause of crash, manner of collision, location of collision, injuries and fatalities, and if the crash happened on a rural versus urban road.
Date: 09/2026
Sponsoring organization: Upper Great Plains Transportation Institute
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Geographic Accessibility of Burn Centers in the United States
Examines access to burn centers in the contiguous U.S. according to geography and community income. Analyzes location of burn centers by region and rurality and includes county-level maps showing median household income as well as distance and drive time to nearest burn center.
Author(s): Philong Nguyen, Joshua Wang, Yousef Tanas, et al.
Citation: JAMA Network Open, 9(9), e2636854
Date: 09/2026
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Examines access to burn centers in the contiguous U.S. according to geography and community income. Analyzes location of burn centers by region and rurality and includes county-level maps showing median household income as well as distance and drive time to nearest burn center.
Author(s): Philong Nguyen, Joshua Wang, Yousef Tanas, et al.
Citation: JAMA Network Open, 9(9), e2636854
Date: 09/2026
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Investigating the Role of Advanced Driver Assistance Systems (ADAS) in Reducing Sideswipe Collisions in Rural Ohio
Examines the efficacy of Advanced Driver Assistance Systems (ADAS) in preventing severe sideswipe crashes on rural roads. Utilizes 2017-2023 data from 49 rural Ohio counties to analyze sideswipe crashes according to severity, driver demographics, ADAS operations, and driving conditions. Discusses the impact of ADAS in variable driving situations to prevent sideswipe crashes and related injuries and fatalities in rural communities.
Author(s): Abdul Ngereza, Boniphace Kutela, Ibrahim Ibrahim, et al.
Citation: Journal of Safety Research, 98, 599-611
Date: 09/2026
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Examines the efficacy of Advanced Driver Assistance Systems (ADAS) in preventing severe sideswipe crashes on rural roads. Utilizes 2017-2023 data from 49 rural Ohio counties to analyze sideswipe crashes according to severity, driver demographics, ADAS operations, and driving conditions. Discusses the impact of ADAS in variable driving situations to prevent sideswipe crashes and related injuries and fatalities in rural communities.
Author(s): Abdul Ngereza, Boniphace Kutela, Ibrahim Ibrahim, et al.
Citation: Journal of Safety Research, 98, 599-611
Date: 09/2026
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Using the Machine Learning Algorithm XGBoost to Understand the Correlates of Wearing Hearing Protection in Central States' Agricultural Producers
Examines correlates to the use of hearing protection among agricultural producers in seven states using data from the Farm and Ranch Health and Safety Survey collected in 2018, 2020, and 2023. Uses a machine learning algorithm to identify correlative factors to the use of hearing protection, such as sex, type of agricultural operation, and operator role, among others.
Author(s): Cheryl L. Beseler, Ellen G. Duysen, Risto H. Rautiainen
Citation: American Journal of Audiology, 35(3), 955-964
Date: 09/2026
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Examines correlates to the use of hearing protection among agricultural producers in seven states using data from the Farm and Ranch Health and Safety Survey collected in 2018, 2020, and 2023. Uses a machine learning algorithm to identify correlative factors to the use of hearing protection, such as sex, type of agricultural operation, and operator role, among others.
Author(s): Cheryl L. Beseler, Ellen G. Duysen, Risto H. Rautiainen
Citation: American Journal of Audiology, 35(3), 955-964
Date: 09/2026
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Vermont Firearm Injury and Death
Offers data on firearm-related deaths, hospitalizations, and emergency department visits in Vermont through 2025. Features county-level maps showing rates of injury per 100,000 hospital visits and deaths per 100,000 Vermont residents.
Date: 08/2026
Sponsoring organization: Vermont Department of Health
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Offers data on firearm-related deaths, hospitalizations, and emergency department visits in Vermont through 2025. Features county-level maps showing rates of injury per 100,000 hospital visits and deaths per 100,000 Vermont residents.
Date: 08/2026
Sponsoring organization: Vermont Department of Health
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Unequal Paths to Care: How Region, Rurality, and Deprivation Determine Transport to Verified Trauma Centers among the Critically Injured
Examines the relationship among rurality, area deprivation index (ADI), and trauma center transport of critically injured patients. Utilizes 2018-2022 National Emergency Medical Services Information System data from 36,897,269 critically injured patients and analyzes rural versus urban transport to a trauma center, region of the country, and ADI.
Author(s): Amani Sampson, Edward Helderop, Tokoya Williams, et al.
Citation: Surgery, 196, 110232
Date: 08/2026
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Examines the relationship among rurality, area deprivation index (ADI), and trauma center transport of critically injured patients. Utilizes 2018-2022 National Emergency Medical Services Information System data from 36,897,269 critically injured patients and analyzes rural versus urban transport to a trauma center, region of the country, and ADI.
Author(s): Amani Sampson, Edward Helderop, Tokoya Williams, et al.
Citation: Surgery, 196, 110232
Date: 08/2026
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